A Network Analysis Approach to Detect and Differentiate Usher Syndrome Types Using miRNA Expression Profiles: A Pilot Study.

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Title: A Network Analysis Approach to Detect and Differentiate Usher Syndrome Types Using miRNA Expression Profiles: A Pilot Study.
Authors: Thelagathoti, Rama Krishna1 (AUTHOR) ramakrishna.thelagathoti@boystown.org, Tom, Wesley A.1 (AUTHOR), Jiang, Chao1 (AUTHOR), Chandel, Dinesh S.1 (AUTHOR), Krzyzanowski, Gary1 (AUTHOR), Olou, Appolinaire1 (AUTHOR), Fernando, Rohan M.1 (AUTHOR) m.rohan.fernando@boystown.org
Source: BioMedInformatics. Dec2024, Vol. 4 Issue 4, p2271-2286. 16p.
Database: Academic Search Ultimate
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  Data: A Network Analysis Approach to Detect and Differentiate Usher Syndrome Types Using miRNA Expression Profiles: A Pilot Study.
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  Data: <searchLink fieldCode="JN" term="%22BioMedInformatics%22">BioMedInformatics</searchLink>. Dec2024, Vol. 4 Issue 4, p2271-2286. 16p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/biomedinformatics4040122
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 2271
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      – TitleFull: A Network Analysis Approach to Detect and Differentiate Usher Syndrome Types Using miRNA Expression Profiles: A Pilot Study.
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            NameFull: Thelagathoti, Rama Krishna
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            NameFull: Tom, Wesley A.
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            NameFull: Jiang, Chao
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            NameFull: Chandel, Dinesh S.
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            NameFull: Krzyzanowski, Gary
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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            – TitleFull: BioMedInformatics
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